Towards a Decision-Making Framework to Address Sustainable Development Issues

1998 ◽  
pp. 277-297 ◽  
Author(s):  
G. Froger ◽  
E. Zyla
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Decision Making Framework

Transferring The Mauri Model Of Decision Making Framework From New Zealand To Merauke Regency In Southern Papua

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Elisabeth Veronika Wambrauw
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
New Zealand ◽  
Indigenous Peoples ◽  
Traditional Ecological Knowledge ◽  
Agricultural Development ◽  
Sustainability Assessment ◽  
Well Being ◽  
Ecological Knowledge ◽  
Decision Making Framework

Today sustainable development is a concern around the globe. Sustainable development should include improving well-being, equitable distribution, and the integration of ecological concepts which pass from generation to generation and across time. Sustainable ways of life have actually been practised by indigenous peoples inter-generationally.  The Indigenous Peoples have similarities around the world in that they are inseparable from nature, and use their knowledge to maintain their ecosystems of origin.  This attribute reflects the potential for traditional ecological knowledge to sustain the environment and help people survive. This increases the motivation for considering including traditional ecological knowledge when making decisions and assessing the environment and development, including development in the agricultural sectors.  One of the environmental assessments which integrates traditional values is the Mauri Model Decision Making Framework (MMDMF) which was developed in and for Aotearoa New Zealand. This assessment approach uses the concept of ‘mauri’. Mauri is an important element in Māori culture. It is the essence or life force, the spark of life  and  a central concept that informs sustainability. The framework measures four dimensions of wellbeing as the basis of the sustainability assessment: the mauri of community (social), the mauri of the family unit (economic), the mauri of the ecosystem (environment), and the mauri of the tribe (culture). Merauke regency is the location of a new agricultural development scheme, called the Merauke Integrated Food and Energy Estate (MIFEE). MIFEE is a national programme to develop the regency as a national and local granary. The purposes of this paper are  to examine the feasibility to transfer this assessment in the context of Merauke and to assess the sustainability of 1.2 Million Ha Merauke Integrated Food and energy Estate .  The results show that the MMDMF  is transferable and that although the assessment shows the project benefits the economic and social dimensions, the cultural and environmental dimensions are diminished.

scholarly journals Sustainable Transport Indicators in the Context of Introducing of Electric Passenger Cars

2020 ◽  
Vol 14 (3) ◽  
pp. 318-324
Author(s):  
Stevan Kjosevski ◽  
Atanas Kochov ◽  
Darko Danev ◽  
Aleksandar Kostikj
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Sustainable Transport ◽  
Ahp Method ◽  
Passenger Cars ◽  
Balkan Countries ◽  
Scientific Approach ◽  
Development Analysis

Sustainable development and sustainable transport are becoming of higher and higher importance. A scientific approach to sustainable development analysis means, first of all, identification of relevant indicators. Based on literature review and regional professionals’ view, a total of 90 indicators have been chosen. They have been structured in five hierarchic levels. A total of five personal transport means alternatives have been analyzed in the research. The AHP method of analysis has been employed in which 75 professionals from the Western Balkan countries have filled appropriate questionnaire. The research presents their opinion about the capacity of each of the alternatives to contribute to the sustainable transport in the region, but also puts a light on perception of the professionals on importance of chosen indicators. The results of this research could be used for further research and could also help to decision making levels regarding sustainable transport and sustainable development.

scholarly journals A Methodological Framework for Sustainable Office Building Renovation Using Green Building Rating Systems and Cost-Benefit Analysis

2020 ◽  
Vol 12 (15) ◽  
pp. 6156
Author(s):  
Nataša Šuman ◽  
Mojca Marinič ◽  
Milan Kuhta
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Cost Benefit Analysis ◽  
Early Stage ◽  
Cost Benefit ◽  
Green Building ◽  
Office Buildings ◽  
Office Building ◽  
Rating System ◽  
Benefit Analysis

Sustainable development is a priority for the future of our society. Sustainable development is of particular importance to the Architecture, Engineering, and Construction (AEC) industry, both for new buildings and for the renovation of existing buildings. Great potential for sustainable development lies in the renovation of existing office buildings. This paper introduces a new framework for identifying the best set of renovation strategies for existing office buildings. The framework applies selected green building rating system criteria and cost-effective sustainable renovation solutions based on cost-benefit analysis (CBA), and thus provides a novelty in decision-making support for the sustainable renovation of office buildings at an early-stage. The framework covers all necessary steps and activities including data collection, determination of the required level of renovation, selection of the green building rating system, identification of impact categories and criteria, and final evaluation and decision-making using CBA. The framework can be used in conjunction with different systems and according to different regional characteristics. The applicability of the addressing procedure is shown through a case study of a comprehensive renovation of an office building in the city of Maribor.

A BIM-based decision-making framework for optimal seismic retrofit of existing buildings

2021 ◽  
Vol 242 ◽  
pp. 112544
Author(s):  
Nicola Caterino ◽  
Iolanda Nuzzo ◽  
Antonio Ianniello ◽  
Giorgio Varchetta ◽  
Edoardo Cosenza
Keyword(s):  
Decision Making ◽  
Seismic Retrofit ◽  
Existing Buildings ◽  
Decision Making Framework

scholarly journals Sustainability Assessment and Agricultural Supply Chains Evidence-Based Multidimensional Analyses as Tools for Strategic Decision-Making—The Case of the Pineapple Supply Chain in Benin

2021 ◽  
Vol 13 (4) ◽  
pp. 2060
Author(s):  
Doriane Desclee ◽  
David Sohinto ◽  
Freddy Padonou
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Developing Countries ◽  
Supply Chains ◽  
Agricultural Sector ◽  
Sustainability Assessment ◽  
Assessment Tools ◽  
Strategic Decision ◽  
Evidence Based ◽  
Agricultural Supply

Contributing to Sustainable Development Goals and Agenda 2030 is a shared objective of all institutions and people. The challenges differ according to the characteristics of every context. In developing countries, strongly dependent on the agricultural sector, agricultural supply chains are recognized as crucial for economic growth and enablers for livelihood improvement. Moreover, sustainable development issues are correlated and can meet in agricultural supply chains. For several decades, parallel to decision-makers, the research community has elaborated sustainability assessment tools. Such tools evolved to fit with actuality, but it is challenging to find decision-making support tools for sustainable development adequate in agricultural supply chains and developing countries contexts. There is a necessity to define evidence-based tools and exhaustive analytical frameworks according to sustainability multidimensionality and strategical tradeoffs necessity. The VCA4D method aims to go beyond the limits of previous methods. It proposes a combination of multidisciplinary analytical tools applied empirically to analyze agricultural supply chains in their context. It provides evidence-based analytical results allowing to identify enablers for strategic sustainable and inclusive interventions. However, to even better meet contextual exhaustiveness’s expectations and indicators’ robustness to lead to relevant interventions, we should insist on a stricter framing of contextual data collection processes.

scholarly journals Online Learning Algorithms for the Real-Time Set-Point Tracking Problem

2021 ◽  
Vol 11 (14) ◽  
pp. 6620
Author(s):  
Arman Alahyari ◽  
David Pozo ◽  
Meisam Farrokhifar
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
Real Time ◽  
Demand Response ◽  
Tracking Problem ◽  
Smart Meters ◽  
Set Point ◽  
Point Tracking ◽  
Power Set ◽  
Decision Making Framework

With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household applications with the utilization of smart meters and mobile devices. In this paper, we address the power set-point tracking problem for an aggregator that participates in a real-time ancillary program. Fast communication of data and control signal is possible, and the end-user side can exploit the provided signals through demand response programs benefiting both customers and the power grid. However, the existing optimization approaches rely on heavy computation and future parameter predictions, making them ineffective regarding real-time decision-making. As an alternative to the fixed control rules and offline optimization models, we propose the use of an online optimization decision-making framework for the power set-point tracking problem. For the introduced decision-making framework, two types of online algorithms are investigated with and without projections. The former is based on the standard online gradient descent (OGD) algorithm, while the latter is based on the Online Frank–Wolfe (OFW) algorithm. The results demonstrated that both algorithms could achieve sub-linear regret where the OGD approach reached approximately 2.4-times lower average losses. However, the OFW-based demand response algorithm performed up to twenty-nine percent faster when the number of loads increased for each round of optimization.

A Decision-Making Framework for Inventory Positioning in an Omnichannel Business Environment

2019 ◽  
Vol 12 (1) ◽  
pp. 81-94 ◽  
Author(s):  
Albert Wee Kwan Tan ◽  
David Gligor
Keyword(s):  
Decision Making ◽  
Business Model ◽  
Business Environment ◽  
Shopping Experience ◽  
Decision Making Framework ◽  
Customer Orders

Omnichannel is an evolving business model that has been gaining increased popularity among retailers. This business model allows firms to use a variety of channels to interact with their customers and fulfill their orders. Customers can order online and pick up later in the store, or they can choose to have the products delivered from a nearby store. Due to the complexity of fulfilling customer orders via omnichannel models, positioning inventory is a key challenge in supporting this type of business model. This article presents a framework for assisting companies in deciding under what condition to centralize or decentralize their inventory to fulfill customer orders without disrupting the shopping experience.

Sign in / Sign up

Export Citation Format

Share Document